Research on the Loading Method of Logistics Vehicle and Cargo Based on IPSO Algorithm-Reference-Cited by-同舟云学术

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Research on the Loading Method of Logistics Vehicle and Cargo Based on IPSO Algorithm

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 42nd Chinese Control Conference (CCC)
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Author:

Zhao Zewei¹,Wang Huqing¹,Sun Zhe¹,Xu Lei²,Gong Guangfu²,Xie Xiangpeng¹,Sun Zhixin¹

Affiliation:

1. Post Industry Technology Research and Development Center of the State Posts Bureau (Internet of Things Technology), Nanjing University of Posts and Telecommunications,Nanjing,P.R. China,210023

2. Anhui Yougu Express Intelligent Technology Co., LTD,Nanling,Anhui,P.R. China,241300

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240931.pdf?arnumber=10240931

Reference10 articles.

1. Adaptive Particle Swarm Optimization

2. Handling multiple objectives with particle swarm optimization

3. Particle swarm optimization for sequencing problems: a case study

4. Mixed-Integer Programming Models for Flowshop Scheduling Problems Minimizing the Total Earliness and Tardiness;ronconi;Part of the Springer Optimization and Its Applications book series (SOIA volume 60) Just-in-Time Systems,2011

5. A column generation approach for location-routing problems with pickup and delivery

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